An Empirical Investigation of Enterprise Architecture Analysis Based on Network Measures and Expert Knowledge: A Case from the Automotive Industry
Editor: Marly Monteiro de Carvalho, Steven D. Eppinger, Maik Maurer, Lucia Becerril
Author: Santana, Alixandre; Kreimeyer, Matthias; Clo, Pascal; Fischbach, Kai; de Moura, Hermano
Institution: Informatics center, UFPE, Brazil; MAN Truck and Bus AG, Germany; University of Bamberg, Germany
Section: Analyzing and Managing Organizations
DOI number: 10.19255/JMPM-DSM2016
Enterprise architecture (EA) may be considered an organizational blueprint that helps experts manage organizational complexity. In this regard, EA analysis is an emerging field gaining greater attention, and considering EA as an intertwined system of components and relationships and performing EA analysis from a structural perspective are promising areas of research. This paper analyzes EA data from a German commercial vehicle manufacturer, modeling a subset of its EA with the help of design structural and domain mapping matrices. Thus, we propose an analysis approach based on network measures that uses structural knowledge generated by the network analysis to validate or refine experts’ tacit knowledge about EA key components from different layers. We refer to this approach as the diagnosis analysis method. Based on our results, we successfully combine the structural knowledge with expert knowledge and provide useful validations for experts.